Data careers

Our community of data experts and technologists think disruptively to provide pragmatic solutions for our clients' most complex challenges. We are curious minds who come together in collaborative and inclusive teams to push boundaries to make a positive impact in the world by harnessing the power of data and artificial intelligence (AI). 

 

We are looking for change makers, opportunity creators, status-quo shakers. If that’s you, what are you waiting for?

Take the next step in your data career journey

Get to know us

 

Meet some of our people in data as they spill the beans on what they enjoy most about working at Thoughtworks as well as share insights into the work they are doing in the data space.

Making an impact across data archetypes

Data engineers
are responsible for bringing our clients scalable and robust solutions related to the processes of creating pipelines, platforms, organization, governance and data quality. They have experience in cloud, on-premises technologies and migrations.
Data architects
are responsible for designing reference architectures, covering key aspects of data management, governance, domains, modeling, integration, security, compliance and more. They are responsible for the discovery, roadmap, feasibility study and recommendation of frameworks, practices and tools in the data world to better meet business objectives.
Data scientists
are responsible for identifying business opportunities and how to respond to them through the applied use of data and thus maximizing client results. They play a strategic role both from a technical and business point of view, proposing the use of advanced machine learning techniques along with algorithms and success metrics that will serve in the future to evaluate the results of production models.
Machine learning engineers
are responsible for providing the technical components capable of enabling CD4ML principles such as experiment versioning tools, data repositories, automation mats and integration layers with production environments. They work closely with data scientists, evaluating aspects of scalability and performance for proposed data models.
Data analysts
are responsible for conducting complex analysis, proposing business indicators and generating analytic solutions to support clients in generating business value. They have experience in transforming data into insights through understanding the business and creating automated dashboards for demonstrating results and making decisions.
Data engineers

are responsible for bringing our clients scalable and robust solutions related to the processes of creating pipelines, platforms, organization, governance and data quality. They have experience in cloud, on-premises technologies and migrations.

Data architects

are responsible for designing reference architectures, covering key aspects of data management, governance, domains, modeling, integration, security, compliance and more. They are responsible for the discovery, roadmap, feasibility study and recommendation of frameworks, practices and tools in the data world to better meet business objectives.

Data scientists

are responsible for identifying business opportunities and how to respond to them through the applied use of data and thus maximizing client results. They play a strategic role both from a technical and business point of view, proposing the use of advanced machine learning techniques along with algorithms and success metrics that will serve in the future to evaluate the results of production models.

Machine learning engineers

are responsible for providing the technical components capable of enabling CD4ML principles such as experiment versioning tools, data repositories, automation mats and integration layers with production environments. They work closely with data scientists, evaluating aspects of scalability and performance for proposed data models.

Data analysts

are responsible for conducting complex analysis, proposing business indicators and generating analytic solutions to support clients in generating business value. They have experience in transforming data into insights through understanding the business and creating automated dashboards for demonstrating results and making decisions.

We don’t just strategize, we deliver! Our clients have told us this repeatedly. We don’t go into analysis-paralysis mode like some of our competitors. One of the reasons we can do this is because the engineering practices and foundations that our Thoughtworkers have are so strong, that they can learn any new tech quickly, enabling us to start work ahead of our competitors.
Ashwin Sugavanam
Data and AI service line lead, India/Middle East
Find a career at Thoughtworks and do data the right way

People you might work with

Divya Dua
Divya Dua

Senior data engineer, Gurgaon

 

Before joining ThoughtWorks, I spent 2.5 years as a software developer, eager to explore the Data domain. ThoughtWorks provided the perfect opportunity at the right time. My inaugural project at ThoughtWorks was with a health insurance company, where I joined the Data Products team, marking my entry into significant Big Data projects. The camaraderie among team members was exceptional, leading to lasting friendships. As a consultant, I absorbed invaluable knowledge from my peers, shaping my career trajectory and deepening my expertise in the Data domain.

 

The very first project I was assigned was transformative, contributing significantly to my professional growth. Acknowledging my dedication and efficiency, I was nominated for the Senior Consultant role by the project manager and subsequently promoted. Following this milestone, I engaged in two more pivotal data projects, assuming key responsibilities that aided clients in streamlining their data platforms for production

S Narasimha Chakravarthy

Senior data engineer, Pune

 

My journey with ThoughtWorks began about 4.5 years ago, and what drew me to the company was the interview experience and the people I met during the process. When I applied, I had 3.5 years of experience and was aiming for a Consultant Data Engineer position. However, during the interview rounds, the panel saw potential in me and decided to evaluate me for a Senior Consultant role instead. This belief in my capabilities and the opportunity to grow were pivotal in my decision to join ThoughtWorks. It's been a journey of constant learning and professional development ever since.

 

What I love most about my role is the freedom to dive into various data projects. This diversity in work keeps things interesting and helps me grow my skills. Another big plus is getting to work closely with our clients' leaders. It's fascinating to see how they view data and then work together to create and implement data strategies that fit their needs. Also, the support from the ThoughtWorks Data community is amazing. There’s always someone ready to help, no matter their position, which means I’m always learning something new.

Biplob Biswas
Biplob Biswas

Lead data engineer, Germany

 

What I find most rewarding in my role as a data engineer is the continuous stream of challenges it presents. I derive great satisfaction from the process of identifying requirements, comprehending the problem at hand and then crafting effective solutions. While data engineering may not be perceived as the most glamorous job, its significance cannot be overstated. It serves as the foundation for any data-driven organization, enabling the creation of impactful BI reports and even powering cutting-edge technologies like Generative AI and LLMs. By ensuring the availability of high-quality data, I contribute to unlocking the full potential of data-driven initiatives.

At Thoughtworks, we harness the power of data and AI to solve our clients toughest business challenges in innovative ways. Whether it’s modernizing data strategies, exploring uses for generative AI, speeding the flow of information across data platforms or getting more from advanced analytics, we help clients worldwide master their data opportunities for real business impact.

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